Upon completion of the bootcamp, participants will be able to:
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Understand the data science lifecycle and its key components.
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Write programs in a high-level language to solve data science problems.
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Perform descriptive data analysis and extract insights.
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Apply fundamental machine learning concepts such as training, tuning, and testing sets, and feature extraction.
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Use basic machine learning techniques to tackle data science challenges.
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Evaluate performance of machine learning models and diagnose any issues.
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Collaborate effectively in a team environment.
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Clearly communicate data science results to stakeholders.
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Identify and mitigate risks to the dependability of the data science process.